Caroline L Salom1, Gail M Williams2, Jake M Najman3, Rosa Alati4. 1. School of Population Health, The University of Queensland, Public Health Building, Herston Rd, Herston 4006, QLD, Australia. Electronic address: c.salom@uq.edu.au. 2. School of Population Health, The University of Queensland, Public Health Building, Herston Rd, Herston 4006, QLD, Australia. 3. School of Population Health, The University of Queensland, Public Health Building, Herston Rd, Herston 4006, QLD, Australia; School of Social Science, The University of Queensland, Michie Building, St Lucia 4072, QLD, Australia. 4. School of Population Health, The University of Queensland, Public Health Building, Herston Rd, Herston 4006, QLD, Australia; Centre for Youth Substance Abuse Research, The University of Queensland, K Floor, Mental Health Centre, Royal Brisbane & Womens Hospital, Herston 4029, QLD, Australia.
Abstract
BACKGROUND: Alcohol and mental health disorders are highly prevalent in the general population, with co-occurrence recognised as a major public health issue. Socio-economic factors are frequently associated with both disorders but their temporal association is unclear. This paper examines the association between prenatal socio-economic disadvantage and comorbid alcohol and mental health disorders at young adulthood. METHODS: An unselected cohort of women was enrolled during early pregnancy in the large longitudinal Mater-University of Queensland Study of Pregnancy (MUSP), at the Mater Misericordiae Public Hospital in Brisbane, Australia. The mothers and their offspring were followed over a 21 year period. Offspring from the MUSP birth cohort who provided full psychiatric information at age 21 and whose mothers provided socioeconomic information at baseline were included (n=2399). Participants were grouped into no-disorder, mental health disorder only, alcohol disorder only or comorbid alcohol and mental health disorders according to DSM-IV diagnoses at age 21 as assessed by the Composite International Diagnostic Interview. We used multivariate logistic regression analysis to compare associations of disorder group with single measures of prenatal socio-economic disadvantage including family income, parental education and employment, and then created a cumulative scale of socioeconomic disadvantage. RESULTS: Greater socio-economic disadvantage was more strongly associated with comorbidity (OR 3.36; CI95 1.37, 8.24) than with single disorders. This relationship was not fully accounted for by maternal mental health, smoking and drinking during pregnancy. CONCLUSION: Multiple domains of socio-economic disadvantage in early life are associated with comorbid alcohol and mental health disorders.
BACKGROUND:Alcohol and mental health disorders are highly prevalent in the general population, with co-occurrence recognised as a major public health issue. Socio-economic factors are frequently associated with both disorders but their temporal association is unclear. This paper examines the association between prenatal socio-economic disadvantage and comorbid alcohol and mental health disorders at young adulthood. METHODS: An unselected cohort of women was enrolled during early pregnancy in the large longitudinal Mater-University of Queensland Study of Pregnancy (MUSP), at the Mater Misericordiae Public Hospital in Brisbane, Australia. The mothers and their offspring were followed over a 21 year period. Offspring from the MUSP birth cohort who provided full psychiatric information at age 21 and whose mothers provided socioeconomic information at baseline were included (n=2399). Participants were grouped into no-disorder, mental health disorder only, alcohol disorder only or comorbid alcohol and mental health disorders according to DSM-IV diagnoses at age 21 as assessed by the Composite International Diagnostic Interview. We used multivariate logistic regression analysis to compare associations of disorder group with single measures of prenatal socio-economic disadvantage including family income, parental education and employment, and then created a cumulative scale of socioeconomic disadvantage. RESULTS: Greater socio-economic disadvantage was more strongly associated with comorbidity (OR 3.36; CI95 1.37, 8.24) than with single disorders. This relationship was not fully accounted for by maternal mental health, smoking and drinking during pregnancy. CONCLUSION: Multiple domains of socio-economic disadvantage in early life are associated with comorbid alcohol and mental health disorders.
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